This project brings the Analysis of Competing Hypotheses (ACH) methodology to the fact-checking domain to counter and control for cognitive bias in the fact-checking process. The project will develop a new generation of digital tools based on ACH to empower and improve fact-checking organizations’ decision-making processes. LATIF begins with a qualitative assessment of fact-checkers understanding and identification of cognitive bias. The project will then leverage these insights to inform the design of a digital infrastructure to improve fact checkers’ decision-making processes towards impartiality (de-bias fact-checking tool). The usefulness of these tools will be then assessed through feedback provided by the fact-checkers and observing potential changes in public visibility of the enhanced fact-checks combining qualitative and quantitative methodologies.